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Bioinformatics Analysis of Toxicity and Functional Properties of Plant-Derived Bioactive Proteins Khatun, Most. Sharmin; Jahan, Afrin
Control Systems and Optimization Letters Vol 2, No 2 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i2.112

Abstract

The main objective of this review is to discuss the biological activities of plants and their potential for therapeutic use, as well as to highlight the many kinds of bioactive proteins. Plant-derived bioactive proteins are essential because of their many functional qualities and health advantages in a variety of domains, including nutrition, medicine, and agriculture. Plant-derived bioactive proteins have attracted a lot of attention because of their potential as medicines and health advantages. To improve comprehension and application, this study uses bioinformatic tools to present a thorough analysis of the toxicity and functional properties of these proteins. We examine the variety of bioactive proteins originating from plants, emphasizing their functions in anti-inflammatory, anti-cancer, and antibacterial properties. We evaluate these proteins' structural characteristics, binding affinities, and processes of interaction with target molecules using sophisticated bioinformatics technologies. A particular focus is on assessing possible toxicity, using in silico predictive algorithms to detect side effects and guarantee safety in medicinal applications. We also go over how to anticipate the functional characteristics of novel bioactive proteins by integrating proteomic and genomic data. There are many tools such as BLAST, Clustal Omega, Inter Pro Scan for the analysis of bioinformatic data have been reviewed here. This study emphasizes how important bioinformatics is to understand the safety and therapeutic potential of bioactive proteins generated from plants, which opens the door to their optimal application in nutrition and medicine.
Antioxidant Peptides from Proteins: Separation, Identification, Mechanisms, and Applications in Food Systems Khatun, Most. Sharmin
Control Systems and Optimization Letters Vol 3, No 2 (2025)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v3i2.192

Abstract

With an emphasis on their identification, separation, modes of action, and possible uses in food systems, this work offers a thorough investigation of antioxidant peptides generated from bioactive proteins. Antioxidant peptides are essential for combatting free radicals and averting oxidative damage. They are often generated by the enzymatic degradation of proteins from diverse sources, including plants, animal, and marine sources. High-performance liquid chromatography (HPLC), ultrafiltration, membrane filtration, and mass spectrometry are some of the sophisticated techniques used in the separation and identification of these peptides. These techniques enable accurate isolation and characterization. It's important to comprehend the processes by which these peptides exercise their antioxidant benefits; research suggests that their main modes of action include suppression of lipid peroxidation, metal ion chelation, and free radical scavenging. These bioactive peptides have a great deal of promise to improve food items' functional and nutritional qualities. Their integration into food systems can enhance their nutritional content, self-life, and health advantages, making them important components in the creation of functional meals. While the study highlights the promising potential of bioactive peptides, further research is essential to evaluate their stability, bioavailability, and safety under real-world conditions. Factors such as gastrointestinal degradation, absorption efficiency, and potential toxicity must be thoroughly assessed to ensure practical applicability. In addition, this work addresses the difficulties pertaining to these peptides' stability and bioavailability in food matrices and identifies areas for future investigation to maximize their application in the food sector.